Triple

T7185922
Position Surface form Disambiguated ID Type / Status
Subject Lake Tota E167570 entity
Predicate nearCity P350 FINISHED
Object Tota
Tota is a town in the Boyacá Department of Colombia, known for its proximity to Lake Tota, one of the country’s largest and highest lakes.
 E646949 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tota | Statement: [Lake Tota, nearCity, Tota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tota
Context triple: [Lake Tota, nearCity, Tota]
  • A. La Nati
    La Nati is the popular nickname for Switzerland’s men’s national ice hockey team, a prominent European side known for its disciplined play and passionate fan base.
  • B. Velia Titta
    Velia Titta was the wife of Italian socialist politician Giacomo Matteotti, who became a symbol of resistance after his assassination by Fascist squads in 1924.
  • C. Tous
    Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
  • D. Tatia
    Tatia was an early Roman noblewoman, traditionally known as the wife of Rome’s second king, Numa Pompilius, and a figure linked to the Sabine heritage in Roman legend.
  • E. Thereza
    Thereza is a given name, most commonly a variant spelling of Theresa used as a feminine first name in various cultures.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tota
Triple: [Lake Tota, nearCity, Tota]
Generated description
Tota is a town in the Boyacá Department of Colombia, known for its proximity to Lake Tota, one of the country’s largest and highest lakes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tota
Target entity description: Tota is a town in the Boyacá Department of Colombia, known for its proximity to Lake Tota, one of the country’s largest and highest lakes.
  • A. La Nati
    La Nati is the popular nickname for Switzerland’s men’s national ice hockey team, a prominent European side known for its disciplined play and passionate fan base.
  • B. Velia Titta
    Velia Titta was the wife of Italian socialist politician Giacomo Matteotti, who became a symbol of resistance after his assassination by Fascist squads in 1924.
  • C. Tous
    Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
  • D. Tatia
    Tatia was an early Roman noblewoman, traditionally known as the wife of Rome’s second king, Numa Pompilius, and a figure linked to the Sabine heritage in Roman legend.
  • E. Thereza
    Thereza is a given name, most commonly a variant spelling of Theresa used as a feminine first name in various cultures.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e8e0f2f48190a4ddf8637f556934 completed March 27, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b950f90c81908391a96071594ea6 completed March 28, 2026, 11:19 a.m.
NEDg Description generation batch_69c7b9d4d9e081908abc7841371c291b completed March 28, 2026, 11:21 a.m.
NED2 Entity disambiguation (via description) batch_69c7ba7c7ac88190b16ba217cdc12325 completed March 28, 2026, 11:24 a.m.
Created at: March 27, 2026, 2:49 p.m.